校园防欺凌 AI语音预警

                        校园防欺凌 AI语音预警系统特点1、敏感词检测   可端侧进行分析，如区域内出现风险预示词语，如骂人、霸凌、呼救等词语，接直接触发预警到中心。2、分贝强声检测    实时采集并上传分贝值，不对语音音频进行采集，尊重学生的隐私权。另外，降低常规声音（如雷声、雨声、打鼾声等）的分贝值。3、异常声检测    可独立识别音频特性及类型通过对环境内不同声音进行分析比对，确定其声源类型，区分出有风险的声音（如砸玻璃声、人员尖叫、哭声等）并自动触发报警。4、内置语音播报可自定义语音文件，随时随地进行全局广播。语音合成芯片支持多种语音模式，例如文字转语音，真人声录制，特定音效定制等。

## Characteristics of Campus Anti-Bullying AI Voice Early Warning System
1. Sensitive Word Detection
Supports on-device analysis. When risk-predictive words such as insults, bullying-related terms, and cries for help appear in the monitored area, the system will directly trigger an early warning to the central platform.
2. Real-time Decibel Monitoring for Loud Sounds
Collects and uploads decibel values in real time without collecting voice audio, which fully respects the privacy of students. Additionally, it suppresses the decibel levels of routine ambient sounds such as thunder, rain, snoring and other common noises.
3. Abnormal Sound Detection
Independently identifies audio characteristics and types. By analyzing and comparing various sounds in the environment, the system determines the sound source category, distinguishes high-risk sounds (e.g., glass-breaking sounds, screams, cries) and automatically triggers an alarm.
4. Built-in Voice Broadcasting
Supports custom voice files for global broadcasting anytime and anywhere. The voice synthesis chip supports multiple voice modes, including text-to-speech, real-person voice recording, custom sound effects and other configurable options.

搜集汇总

背景与挑战

背景概述

该数据集描述了校园防欺凌 AI语音预警系统的功能，包括敏感词检测、分贝强声检测、异常声检测和内置语音播报，旨在通过AI技术实时监测校园环境中的潜在欺凌行为并及时预警。